Semantic query execution in a video database system

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buir.advisorUlusoy, Özgür
dc.contributor.authorAlper, Cemil
dc.date.accessioned2016-07-01T11:01:15Z
dc.date.available2016-07-01T11:01:15Z
dc.date.issued2004
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractIn this thesis, we have extended a video database management system, called BilVideo, with semantic querying capability. Our work is based on a video data model for the extraction and storage of the semantic contents of videos, and a query language to support semantic queries on video data. The Web based query interface of BilVideo has also been modified to handle semantic queries both visually and textually.en_US
dc.description.degreeM.S.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T11:01:15Z (GMT). No. of bitstreams: 1 0002639.pdf: 1648272 bytes, checksum: 24edbad6a4bf18898b0db20fec8982bd (MD5) Previous issue date: 2004en
dc.description.statementofresponsibilityAlper, Cemilen_US
dc.format.extentxii, 83 leavesen_US
dc.identifier.itemidBILKUTUPB084009
dc.identifier.urihttp://hdl.handle.net/11693/29547
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectvideo databasesen_US
dc.subjectsemantic query executionen_US
dc.subjectsemantic querying of video dataen_US
dc.subjectannotation of video dataen_US
dc.subjectsemantic video modelingen_US
dc.subject.lccTK5105 .A47 2004en_US
dc.subject.lcshVideo systems.en_US
dc.titleSemantic query execution in a video database systemen_US
dc.typeThesisen_US

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Dept. of Computer Engineering - Master's degree